Skip to content

Instantly share code, notes, and snippets.

@claes-work
claes-work / llm-assembly-line.md
Last active August 24, 2026 09:59
llm-assembly-line

LLM Assembly Line

A pattern for running long, raw, dictated work orders through AI coding agents.

One brief goes in. It gets cut into work packages. Each package passes a build station and two independent inspection stations. Nothing leaves the line uninspected.

  BRIEF ──► [cut] ──► [build] ──► [inspect] ──┐
 ▲ │

Node.js Deployment

Steps to deploy a Node.js app to DigitalOcean using PM2, NGINX as a reverse proxy and an SSL from LetsEncrypt

1. Create Free AWS Account

Create free AWS Account at https://aws.amazon.com/

2. Create and Lauch an EC2 instance and SSH into machine

I would be creating a t2.medium ubuntu machine for this demo.

LLM Wiki

A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

The core idea

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.

var GB2260 = {
"110000": "北京市",
"110100": "北京市市辖区",
"110101": "北京市东城区",
"110102": "北京市西城区",
"110103": "北京市崇文区",
"110104": "北京市宣武区",
"110105": "北京市朝阳区",
"110106": "北京市丰台区",
"110107": "北京市石景山区",
@fawazahmed0
fawazahmed0 / breach.txt
Last active August 24, 2026 09:50
Email and password breach collection list
# Please Note, I am sharing this, hoping this will be used for good public use, such as data analysis, penetration testing etc
# These links are already available all over the internet
# Also Note, Trying to login into someone else's account without their permission is unethical and illegal
# Collection 1
magnet:?xt=urn:btih:B39C603C7E18DB8262067C5926E7D5EA5D20E12E&dn=Collection%201&tr=udp%3a%2f%2ftracker.coppersurfer.tk%3a6969%2fannounce&tr=udp%3a%2f%2ftracker.leechers-paradise.org%3a6969%2fannounce&tr=http%3a%2f%2ft.nyaatracker.com%3a80%2fannounce&tr=http%3a%2f%2fopentracker.xyz%3a80%2fannounce
# Collection 2-5 & Antipublic
magnet:?xt=urn:btih:D136B1ADDE531F38311FBF43FB96FC26DF1A34CD&dn=Collection%20%232-%235%20%26%20Antipublic&tr=udp%3a%2f%2ftracker.coppersurfer.tk%3a6969%2fannounce&tr=udp%3a%2f%2ftracker.leechers-paradise.org%3a6969%2fannounce&tr=http%3a%2f%2ft.nyaatracker.com%3a80%2fannounce&tr=http%3a%2f%2fopentracker.xyz%3a80%2fannounce
@yosevu
yosevu / dotfile-git-setup.md
Last active August 24, 2026 09:49
Dotfile Git Setup

Setup

  1. git init --bare $HOME/.dotfiles
  1. alias dot='/usr/bin/git --git-dir=$HOME/.dotfiles/ --work-tree=$HOME'
  • Create an alias for git e.g. dot to configure the .dotfiles repository.
  1. dotfiles config --local status.showUntrackedFiles no
  • Configure Git to not show local files that are not being tracked when using commands like git status.
@Mohammad-Sherif
Mohammad-Sherif / README.md
Last active August 24, 2026 09:48 — forked from ocombe/README.md
ChatGPT Conversation Exporter — export all your conversations as JSON + Markdown + ZIP. No dependencies beyond bash, curl, python3.

ChatGPT Conversation Exporter

Export all your ChatGPT conversations as JSON + Markdown + HTML + ZIP. Works with ChatGPT Business/Team/Enterprise accounts (including SSO/Okta).

What's exported

  • JSON — Raw conversation data from the API
  • Markdown — Clean text with headers per message, relative links to downloaded files
  • HTML — ChatGPT-style conversation viewer with sidebar navigation, syntax-highlighted code blocks, and embedded images
-- Copy file path / selection reference for pasting into AI chats
local function copy_ref(opts)
-- "%" is the current buffer's file name; ":." makes it relative to the cwd
local path = vim.fn.expand("%:.")
-- ref is what ends up in the clipboard; start with just the path
local ref = path
if opts.visual then
-- '< and '> are only set after leaving visual mode, so read the live selection:
-- "v" is the line where visual mode was started (the anchor)